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Nice, though I use Bing daily (I am the only one, if I believe my collegues), I didn't know this exist. I do wonder however, why the search function doesn't tr

Nice, though I use Bing daily (I am the only one, if I believe my collegues), I didn't know this exist. I do wonder however, why the search function doesn't try searching on sub-parts of the image automatically. Bing really has been improving compared to Google. I can find stuff on Bing which I can't easily find on Google because Google keeps rebuilding my search query, causing irrelevant results to show up.

rustcharm 8y ago
Bing is my primary search engine. This feature has been in Bing for at least 6 months. I love it.
jccalhoun 8y ago
I use bing as my main search engine mainly for the rewards. I've gotten quite a few $5 amazon gift cards that way over the years. However, it frequently doesn't return the results I need so I often go over to google.
- mcny 8y ago
  Does it make you verify you're a human using a real phone number? I'm trying to go 100% sim free (Google Voice, Signal, WhatsApp) but Bing doesn't recognize VoIP numbers like Google Voice.
chii 8y ago
> I do wonder however, why the search function doesn't try searching on sub-parts of the image automatically. i also wonder the same. But then it's quite a hard problem to automatically decide which part of the subimage to rerun a search (presumably, it's not free to run so many).
- nour_js 8y ago
  Actually this is a typical Machine Learning probleme, luckily was solved years ago and you can read about it here: https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721 https://medium.com/@ageitgey/machine-learning-is-fun-part-3-...
  - archgoon 8y ago
    I don't think that is directly applicable to this case (definitely not to the level of calling the problem 'solved'). The link describes a technique for training a neural net to detect a type of image, an '8' for example, in an image regardless of location. However, in this case, you only have one sample of the target. You could run a net to attempt to extract a list of features (children, bronze), and compare that to all your images, but I don't think that's how the bing image search is structured. That would be closer to searching for '4 children bronze park' (which it does a great job of finding such things; just nothing related to the target image). Also, when you use convolution in the way described in the article, you would lose relative position information (or at least, dampen that part of the signal) of each of the bronze statues; as the entire point is to not care about the position of the object.

rustcharm 8y ago

Bing is my primary search engine. This feature has been in Bing for at least 6 months. I love it.

jccalhoun 8y ago

I use bing as my main search engine mainly for the rewards. I've gotten quite a few $5 amazon gift cards that way over the years. However, it frequently doesn't return the results I need so I often go over to google.

mcny 8y ago
Does it make you verify you're a human using a real phone number? I'm trying to go 100% sim free (Google Voice, Signal, WhatsApp) but Bing doesn't recognize VoIP numbers like Google Voice.

chii 8y ago

> I do wonder however, why the search function doesn't try searching on sub-parts of the image automatically. i also wonder the same. But then it's quite a hard problem to automatically decide which part of the subimage to rerun a search (presumably, it's not free to run so many).

nour_js 8y ago
Actually this is a typical Machine Learning probleme, luckily was solved years ago and you can read about it here: https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721 https://medium.com/@ageitgey/machine-learning-is-fun-part-3-...
- archgoon 8y ago
  I don't think that is directly applicable to this case (definitely not to the level of calling the problem 'solved'). The link describes a technique for training a neural net to detect a type of image, an '8' for example, in an image regardless of location. However, in this case, you only have one sample of the target. You could run a net to attempt to extract a list of features (children, bronze), and compare that to all your images, but I don't think that's how the bing image search is structured. That would be closer to searching for '4 children bronze park' (which it does a great job of finding such things; just nothing related to the target image). Also, when you use convolution in the way described in the article, you would lose relative position information (or at least, dampen that part of the signal) of each of the bronze statues; as the entire point is to not care about the position of the object.